MIT 6.1200J Mathematics for Computer Science, Spring 2024
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52 learners
What you'll learn
This course includes
- 31.5 hours of video
- Certificate of completion
- Access on mobile and TV
Course content
1 modules • 24 lessons • 31.5 hours of video
MIT 6.1200J Mathematics for Computer Science, Spring 2024
24 lessons
• 31.5 hours
MIT 6.1200J Mathematics for Computer Science, Spring 2024
24 lessons
• 31.5 hours
- Lecture 1: Predicates, Sets, and Proofs 01:18:47
- Lecture 2: Contradiction and Induction 01:19:38
- Lecture 3: Casework and Strong Induction 01:24:10
- Lecture 4: State Machines 01:21:16
- Lecture 5: Sums 01:22:21
- Lecture 6: Asymptotics 01:18:26
- Lecture 7: Recurrences 01:13:24
- Lecture 8: Divisibility 01:19:00
- Lecture 9: Modular Arithmetic 01:19:46
- Lecture 10: Cryptography 01:21:09
- Lecture 11: Graphs and Coloring 01:21:16
- Lecture 12: Matching 01:21:44
- Lecture 13: Connectivity and Trees 01:22:03
- Lecture 14: Digraphs and DAGs 01:19:02
- Lecture 15: Relations and Counting 01:18:47
- Lecture 16: Counting Techniques 01:15:14
- Lecture 17: More Counting Techniques 01:20:57
- Lecture 18: Probability 01:07:59
- Lecture 19: Conditional Probability 01:20:45
- Lecture 20: Independence 01:22:03
- Lecture 21: Random Variables 01:10:48
- Lecture 22: Expectation 01:20:31
- Lecture 23: Expectation and Variance 01:18:17
- Lecture 24: Large Deviations: Chebyshev and Chernov Bound, Wrap Up 01:22:50
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